SMILES based Transformer Encoder Decoder (SMI TED) This repository provides a HuggingFace compatible version of the SMI TED model, a SMILES based Transformer Encoder Decoder for chemical language modeling. 📦 Forked Resources Forked GitHub: bisect group/materials smi ted fork Forked HuggingFace: bisectgroup/materials smi ted fork 🏷️ Original Resources Original GitHub: IBM/materials (smi ted) Original HuggingFace: ibm/materials.smi ted Publication: A Large Encoder Decoder Family of Foundation Models for Chemical Language 🚀 Usage 📝 Citation If you use this model, please cite: 📧 Contact For questions or collaborations, contact: eduardo.soares@ibm.com evital@br.ibm.com Note: This fork adapts the original SMI TED codebase for seamless integration with HuggingFace's AutoModel and AutoTokenizer interfaces. For full source code and training scripts, see the original IBM repo.
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